Prices that never moved with CPI. Terms that were never billed. Leakage spread so thinly across so many customers that no single account is worth chasing — yet together they add up. Commercial Recovery finds it across your whole book, and gives you a defensible basis to act.
The problem
Reviewing every contract and invoice by hand is too slow and too expensive to justify — so it doesn't happen. Hand it to AI unsupervised and you have no defensible record of how a recovery figure was reached. Either way, the money stays on the table.
When the leakage is wide
Hundreds of thousands of customers, each a small amount under-charged. No one account is worth the effort — but you have to get through all of them to make a difference to the bottom line.
When the leakage is deep
Shared assets, complex terms, long-running agreements. You know value is being lost on a few large relationships — you need to prove exactly where, and by how much.
Coverage
Manual and specialty reviews triage to survive the cost of senior hours — the biggest contracts, a sample of the rest, the most recent years. Most of the leakage sits in everything they skip.
The old model
Most of the recoverable value never gets looked at.
On Synalogic
More of what you're owed, found and made defensible.
Every figure is traced to its clause and charge and signed off by your people. The method behind it is patent-pending — we describe it by what it guarantees, not how it works.
Why it stands up
Asking a customer for money is a high-stakes claim. Commercial Recovery runs on the same accountability architecture as the rest of the Synalogic platform — so the basis for every figure is on the record.
Every AI output and human decision durably logged.
No recovery proceeds without a documented sign-off.
Every figure traced to the clause and charge behind it.
Single-tenant deployment. In-country hosting. ISO 27001 aligned.
Is it safe to use AI for this?
Using AI in a commercial or legal recovery worries people for good reason — a wrong figure put to a customer, or a decision no one can explain, carries real risk. We designed Commercial Recovery so that doesn't happen.
The platform surfaces and quantifies the leakage; a qualified reviewer validates and signs off every recovery. The AI never decides what you pursue.
Every figure traces to the specific clause and charge behind it. If a customer, auditor or court asks how you got there, you can show them.
It runs on the same patent-pending, human-in-the-loop architecture that underpins every Synalogic solution — accountability is built in, not bolted on.
Why this changes the model
A manual review burns senior hours, so the traditional model triages: read the top contracts, sample the rest, claim what surfaces. That model was priced for manual labour. We share the AI productivity dividend with you — reviewing everything costs little more than reviewing some of it.
Coverage
Manual review sets a dollar floor — below it, a claim costs more to chase than it returns, and most of the missed value sits there. On the platform the cost of pursuing a finding is constant, so the $400 under-charge is pursued as readily as the $400k one.
Look-back
Historical billing is replayed across your full claimable window in weeks, not quarters. Where past under-charging can be claimed, the evidence comes assembled — clause, charge and gap — ready to put to the customer.
Accuracy
Every figure is repeatable, traced to its clause and charge, and signed off by your people — so the number you put to a customer holds up. Defensibility is what lets you actually collect.
Catch-up + run-rate
A recovery delivers the catch-up invoice for what you were under-billing — and corrects the billing from today, so the uplift compounds into every month that follows. The sugar hit, then the run-rate.
FAQ
It is the process of surfacing under-charging and revenue leakage across large volumes of contract and billing data, so you can recover money you are owed with a defensible basis to act.
Every figure is repeatable, traces to the clause and the charge behind it, and carries a documented human sign-off. Before anything goes to a customer, a person has reviewed the evidence and put their name to it.
As a managed service where we run the recovery and can structure the engagement around the value returned, as licensed software you run yourself, or as a custom build for your variant of the problem.
The bigger the volume, the sharper the value. The platform is built for high-volume work that is too slow and costly to review by hand.
Yes — and you can do it defensibly. The platform does the reading, checking, calculating and drafting at speed; every figure stays traceable to its evidence, and a human validates and signs off every recovery, so the result holds up.
The risk with AI is an unchecked, unexplainable decision. Synalogic removes that: it is not a black box. Human decision-making is at the heart of the workflow, every figure traces to its evidence, and it runs on the same patent-pending architecture as all our solutions.
Tell us how your customers are billed and where you suspect leakage. We'll start with a bounded pilot — you see real findings from your own book before you commit to anything.
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